The ISARIC 4C Mortality Score
Tutorial presented by Professor Ben Hope-Gill, Consultant Respiratory Physician.
The 4C mortality score is a predictive mortality score that will help clinicians decide how to triage and tailor treatment for their patients.
The score is generated from the following variables:
- Pre-existing variables (age, sex and co-morbidities)
- Clinical variables (respiratory rate, SpO2 and level of consciousness)
- Blood test results (blood urea and CRP)
A link to the predictive score can be found below, as well as the corresponding cohort study.
The patient will achieve a score between zero and 21, and this is stratified into four groups to predict mortality:
- 0-3 Low risk (1.2% mortality risk)
- 4-8 Intermediate risk (9.9% mortality risk)
- 9-14 High risk (31.4% mortality risk)
- ≥15 Very high risk (61.5% mortality risk)
This prediction score is a support aid, NOT a decision tool.
The ISARIC 4C Mortality Score
Tutorial presented by Professor Ben Hope-Gill, Consultant Respiratory Physician.
The 4C mortality score is a predictive mortality score that will help clinicians decide how to triage and tailor treatment for their patients.
The score is generated from the following variables:
- Pre-existing variables (age, sex and co-morbidities)
- Clinical variables (respiratory rate, SpO2 and level of consciousness)
- Blood test results (blood urea and CRP)
A link to the predictive score can be found below, as well as the corresponding cohort study.
The patient will achieve a score between zero and 21, and this is stratified into four groups to predict mortality:
- 0-3 Low risk (1.2% mortality risk)
- 4-8 Intermediate risk (9.9% mortality risk)
- 9-14 High risk (31.4% mortality risk)
- ≥15 Very high risk (61.5% mortality risk)
This prediction score is a support aid, NOT a decision tool.
Resources
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Development and validation of the 4C Mortality Score
Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol
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